Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach.

Ayala-Hernández, Luis E; Gallegos, Armando; Schucht, Philippe; Murek, Michael; Pérez-Romasanta, Luis; Belmonte-Beitia, Juan; Pérez-García, Víctor M (2021). Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach. Journal of personalized medicine, 11(10) MDPI 10.3390/jpm11101036

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Low-grade gliomas (LGGs) are brain tumors characterized by their slow growth and infiltrative nature. Treatment options for these tumors are surgery, radiation therapy and chemotherapy. The optimal use of radiation therapy and chemotherapy is still under study. In this paper, we construct a mathematical model of LGG response to combinations of chemotherapy, specifically to the alkylating agent temozolomide and radiation therapy. Patient-specific parameters were obtained from longitudinal imaging data of the response of real LGG patients. Computer simulations showed that concurrent cycles of radiation therapy and temozolomide could provide the best therapeutic efficacy in-silico for the patients included in the study. The patient cohort was extended computationally to a set of 3000 virtual patients. This virtual cohort was subject to an in-silico trial in which matching the doses of radiotherapy to those of temozolomide in the first five days of each cycle improved overall survival over concomitant radio-chemotherapy according to RTOG 0424. Thus, the proposed treatment schedule could be investigated in a clinical setting to improve combination treatments in LGGs with substantial survival benefits.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery

UniBE Contributor:

Schucht, Philippe, Murek, Michael Konrad

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2075-4426

Publisher:

MDPI

Language:

English

Submitter:

Nicole Söll

Date Deposited:

13 Jan 2022 08:38

Last Modified:

02 Mar 2023 23:35

Publisher DOI:

10.3390/jpm11101036

PubMed ID:

34683177

Uncontrolled Keywords:

low-grade gliomas mathematical modeling mathematical oncology radiation therapy temozolomide

BORIS DOI:

10.48350/162698

URI:

https://boris.unibe.ch/id/eprint/162698

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